Data Quality & Operations lead

We are looking for a

Data Quality & Operations lead

to join our Resource Planning department.

This is an exciting opportunity for a detail-oriented and forward-thinking professional to safeguard the integrity and quality of the insights we deliver to some of the world’s most iconic luxury and premium brands.

About CXG:

Founded in 2006, CXG is a global customer experience company uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide.

The mission of our 270 collaborators is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation.

We are passionate about delivering impact.

Your role

Reporting to the Chief of Operation Excellence, you will ensure our best-in-class quality standards are applied at every step of our value chain, so our Insights team receives data it can trust.

You will lead a team of 30+ external validators across three markets:

MEA (including North Africa)

, Americas and Europe. You will own resource planning, quality processes, reporting and continuous improvement for your territory.

Key responsibilities:

Resource allocation

Forecast operational volumes and ensure the right resources are in place to deliver missions on time, within budget and to our quality standards.

Assign and oversee validation and translation work in line with client requirements and project schedules set by Market Operations teams.

Recruit, onboard, certify and train internal and external resources in line with company budgets and rate cards.

Own the department budget, including timely resource payments, project reconciliation and continuous process optimization.

Data quality & compliance

Implement and maintain SOPs, data standards, checklists, guidelines and templates across our fieldwork value chain.

Set up KPIs, dashboards, triggers, contingency plans and quality checks to protect the quality and integrity of collected data.

Ensure compliance with the company’s data privacy policy and resource rotation rules.

Quality control

Run rigorous, regular checks on team output, identify risks early and act quickly to resolve any quality issues.

Partner with Data Analytics, Insights, Commercial teams and Practices, including through calibration processes, to set teams up for success....